问题:日志消息使用Python Logging出现两次
我正在使用Python日志记录,由于某种原因,我的所有消息都出现了两次。
我有一个配置日志记录的模块:
# BUG: It's outputting logging messages twice - not sure why - it's not the propagate setting.
def configure_logging(self, logging_file):
self.logger = logging.getLogger("my_logger")
self.logger.setLevel(logging.DEBUG)
self.logger.propagate = 0
# Format for our loglines
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
# Setup console logging
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
ch.setFormatter(formatter)
self.logger.addHandler(ch)
# Setup file logging as well
fh = logging.FileHandler(LOG_FILENAME)
fh.setLevel(logging.DEBUG)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
稍后,我调用此方法来配置日志记录:
if __name__ == '__main__':
tom = Boy()
tom.configure_logging(LOG_FILENAME)
tom.buy_ham()
然后,在buy_ham模块中,我将调用:
self.logger.info('Successfully able to write to %s' % path)
由于某种原因,所有消息都出现两次。我注释掉其中一个流处理程序,还是一样。有点奇怪,不确定为什么会这样…大声笑。假设我错过了一些显而易见的事情。
干杯,维克多
I’m using Python logging, and for some reason, all of my messages are appearing twice.
I have a module to configure logging:
# BUG: It's outputting logging messages twice - not sure why - it's not the propagate setting.
def configure_logging(self, logging_file):
self.logger = logging.getLogger("my_logger")
self.logger.setLevel(logging.DEBUG)
self.logger.propagate = 0
# Format for our loglines
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
# Setup console logging
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
ch.setFormatter(formatter)
self.logger.addHandler(ch)
# Setup file logging as well
fh = logging.FileHandler(LOG_FILENAME)
fh.setLevel(logging.DEBUG)
fh.setFormatter(formatter)
self.logger.addHandler(fh)
Later on, I call this method to configure logging:
if __name__ == '__main__':
tom = Boy()
tom.configure_logging(LOG_FILENAME)
tom.buy_ham()
And then within say, the buy_ham module, I’d call:
self.logger.info('Successfully able to write to %s' % path)
And for some reason, all the messages are appearing twice. I commented out one of the stream handlers, still the same thing. Bit of a weird one, not sure why this is happening…lol. Assuming I’ve missed something obvious.
Cheers,
Victor
回答 0
您正在调用configure_logging
两次(也许使用的__init__
方法Boy
):getLogger
将返回相同的对象,但addHandler
不检查是否已将类似的处理程序添加到记录器。
尝试跟踪对该方法的调用并消除其中之一。或设置一个标志logging_initialized
False
在__init__
方法中初始化为,如果is为,Boy
则更configure_logging
改为不执行任何logging_initialized
操作True
,并True
在初始化记录器后将其设置为。
如果程序创建了多个Boy
实例,则必须使用configure_logging
添加处理程序的全局函数来更改处理方式,并且该Boy.configure_logging
方法只能初始化self.logger
属性。
解决此问题的另一种方法是检查记录器的handlers属性:
logger = logging.getLogger('my_logger')
if not logger.handlers:
# create the handlers and call logger.addHandler(logging_handler)
You are calling configure_logging
twice (maybe in the __init__
method of Boy
) : getLogger
will return the same object, but addHandler
does not check if a similar handler has already been added to the logger.
Try tracing calls to that method and eliminating one of these. Or set up a flag logging_initialized
initialized to False
in the __init__
method of Boy
and change configure_logging
to do nothing if logging_initialized
is True
, and to set it to True
after you’ve initialized the logger.
If your program creates several Boy
instances, you’ll have to change the way you do things with a global configure_logging
function adding the handlers, and the Boy.configure_logging
method only initializing the self.logger
attribute.
Another way of solving this is by checking the handlers attribute of your logger:
logger = logging.getLogger('my_logger')
if not logger.handlers:
# create the handlers and call logger.addHandler(logging_handler)
回答 1
如果您看到此问题并且没有两次添加处理程序,则请参阅abarnert的答案 在此处
来自文档:
注意:如果将处理程序附加到记录器及其一个或多个祖先,则它可能会多次发出相同的记录。通常,您不需要将一个处理程序附加到一个以上的记录器上-如果您将它附加到记录器层次结构中最高的适当记录器上,则它将看到所有后代记录器记录的所有事件,前提是它们的传播设置保留为True。一种常见的情况是仅将处理程序附加到根记录器,并让传播来处理其余部分。
因此,如果您希望在“测试”上使用自定义处理程序,并且不希望其消息也发送到根处理程序,则答案很简单:关闭其传播标志:
logger.propagate = False
If you are seeing this problem and you’re not adding the handler twice then see abarnert’s answer here
From the docs:
Note: If you attach a handler to a logger and one or more of its
ancestors, it may emit the same record multiple times. In general, you
should not need to attach a handler to more than one logger – if you
just attach it to the appropriate logger which is highest in the
logger hierarchy, then it will see all events logged by all descendant
loggers, provided that their propagate setting is left set to True. A
common scenario is to attach handlers only to the root logger, and to
let propagation take care of the rest.
So, if you want a custom handler on “test”, and you don’t want its messages also going to the root handler, the answer is simple: turn off its propagate
flag:
logger.propagate = False
回答 2
每次您从外部调用时都会添加该处理程序。完成工作后,尝试删除处理程序:
self.logger.removeHandler(ch)
The handler is added each time you call from outside. Try Removeing the Handler after you finish your job:
self.logger.removeHandler(ch)
回答 3
我是python新手,但这似乎对我有用(Python 2.7)
while logger.handlers:
logger.handlers.pop()
I’m a python newbie, but this seemed to work for me (Python 2.7)
while logger.handlers:
logger.handlers.pop()
回答 4
就我而言,我要设定 logger.propagate = False
为防止重复打印。
在下面的代码中,如果删除logger.propagate = False
,则将看到两次打印。
import logging
from typing import Optional
_logger: Optional[logging.Logger] = None
def get_logger() -> logging.Logger:
global _logger
if _logger is None:
raise RuntimeError('get_logger call made before logger was setup!')
return _logger
def set_logger(name:str, level=logging.DEBUG) -> None:
global _logger
if _logger is not None:
raise RuntimeError('_logger is already setup!')
_logger = logging.getLogger(name)
_logger.handlers.clear()
_logger.setLevel(level)
ch = logging.StreamHandler()
ch.setLevel(level)
# warnings.filterwarnings("ignore", "(Possibly )?corrupt EXIF data", UserWarning)
ch.setFormatter(_get_formatter())
_logger.addHandler(ch)
_logger.propagate = False # otherwise root logger prints things again
def _get_formatter() -> logging.Formatter:
return logging.Formatter(
'[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')
In my case I’d to set logger.propagate = False
to prevent double printing.
In below code if you remove logger.propagate = False
then you will see double printing.
import logging
from typing import Optional
_logger: Optional[logging.Logger] = None
def get_logger() -> logging.Logger:
global _logger
if _logger is None:
raise RuntimeError('get_logger call made before logger was setup!')
return _logger
def set_logger(name:str, level=logging.DEBUG) -> None:
global _logger
if _logger is not None:
raise RuntimeError('_logger is already setup!')
_logger = logging.getLogger(name)
_logger.handlers.clear()
_logger.setLevel(level)
ch = logging.StreamHandler()
ch.setLevel(level)
# warnings.filterwarnings("ignore", "(Possibly )?corrupt EXIF data", UserWarning)
ch.setFormatter(_get_formatter())
_logger.addHandler(ch)
_logger.propagate = False # otherwise root logger prints things again
def _get_formatter() -> logging.Formatter:
return logging.Formatter(
'[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')
回答 5
如果未安装根处理程序,则logging.debug()
调用呼叫logging.basicConfig()
。对于我来说,这是在无法控制测试用例触发顺序的测试框架中发生的。我的初始化代码正在安装第二个。默认使用我不需要的logging.BASIC_FORMAT。
A call to logging.debug()
calls logging.basicConfig()
if there are no root handlers installed. That was happening for me in a test framework where I couldn’t control the order that test cases fired. My initialization code was installing the second one. The default uses logging.BASIC_FORMAT that I didn’t want.
回答 6
看来,如果您(意外地)将某些内容输出到记录器然后进行配置,那就太迟了。例如,在我的代码中
logging.warning("look out)"
...
ch = logging.StreamHandler(sys.stdout)
root = logging.getLogger()
root.addHandler(ch)
root.info("hello")
我会得到类似(忽略格式选项)的信息
look out
hello
hello
并将所有内容写入标准输出两次。我相信这是因为第一次调用logging.warning
会自动创建一个新的处理程序,然后我显式添加了另一个处理程序。当我删除意外的第一通logging.warning
电话时,问题消失了。
It seems that if you output something to the logger (accidentally) then configure it, it is too late. For example, in my code I had
logging.warning("look out)"
...
ch = logging.StreamHandler(sys.stdout)
root = logging.getLogger()
root.addHandler(ch)
root.info("hello")
I would get something like (ignoring the format options)
look out
hello
hello
and everything was written to stdout twice. I believe this is because the first call to logging.warning
creates a new handler automatically, and then I explicitly added another handler. The problem went away when I removed the accidental first logging.warning
call.
回答 7
我遇到了奇怪的情况,控制台日志增加了一倍,但文件日志却没有。经过一番挖掘,我弄清楚了。
请注意,第三方软件包可以注册记录器。这是要提防的事情(在某些情况下是无法避免的)。在许多情况下,第三方代码会检查是否存在任何根目录 logger处理程序;例如,如果没有,他们会注册一个新的控制台处理程序。
我的解决方案是在根目录下注册控制台记录器:
rootLogger = logging.getLogger() # note no text passed in--that's how we grab the root logger
if not rootLogger.handlers:
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
ch.setFormatter(logging.Formatter('%(process)s|%(levelname)s] %(message)s'))
rootLogger.addHandler(ch)
I was getting a strange situation where console logs were doubled but my file logs were not. After a ton of digging I figured it out.
Please be aware that third party packages can register loggers. This is something to watch out for (and in some cases can’t be prevented). In many cases third party code checks to see if there are any existing root logger handlers; and if there isn’t–they register a new console handler.
My solution to this was to register my console logger at the root level:
rootLogger = logging.getLogger() # note no text passed in--that's how we grab the root logger
if not rootLogger.handlers:
ch = logging.StreamHandler()
ch.setLevel(logging.INFO)
ch.setFormatter(logging.Formatter('%(process)s|%(levelname)s] %(message)s'))
rootLogger.addHandler(ch)